In this paper, we report our semantic tagging tool for spoken dialogue corpus. This tagging tool can acquire analysis rules using Transformation-based Learning (TBL) from small scale training corpus. It can learn dialogue act tagging rules and semantic frame tagging rules. The precisions are 72% in dialogue act tagging and 58% of semantic frame tagging in open test.

Abstract A fundamental assumption of mark‐recapture studies is that individuals do not lose their marks or tags, because tag loss can lead to biased parameter estimates. Retention 8‐mm full‐duplex and 12‐mm half‐duplex passive integrated transponder (PIT) tags implanted in the abdomen, opercular musculature, dorsal sinus age‐0+ hatchery male brook trout ( Salvelinus fontinalis ) was evaluated l...

We describe an experiment investigating how tagging affects human memory. We compare a low-cost tagging by mouse-clicking interface (Click2Tag) to traditional tagging by typing and to a baseline, no tagging condition. Our results suggest that tagging is beneficial for memory. However, the two tagging methods impact distinct aspects of memory: tagging by typing promotes elaboration of read conte...

Collaborative tagging is increasingly drawing attention as a promising source of taxonomic information; it is often referred to as folksonomy. A tag is information that is added to a resource (such as pictures, a web page, or blog entries); a tag can be represented as an RDF statement. However, no explicit study has been undertaken to bridge the gap between annotated tags and RDF statements. Th...